CN103654771A - Brain wave detection device and power management method thereof - Google Patents
Brain wave detection device and power management method thereofDownload PDFInfo
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- CN103654771A CN103654771ACN201210314081.3ACN201210314081ACN103654771ACN 103654771 ACN103654771 ACN 103654771ACN 201210314081 ACN201210314081 ACN 201210314081ACN 103654771 ACN103654771 ACN 103654771A
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- 238000007726management methodMethods0.000titleabstractdescription50
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Abstract
Description
Technical field
The present invention relates to a kind of brain wave checkout gear and method for managing power supply thereof.
Background technology
Current, the technology of utilizing brain wave technology to control is widely used.For example, developed the brain wave that various types of brain wave checkout gears detect wearer, and the brain wave based on detecting is carried out predetermined control instruction.Such brain wave checkout gear can be applied in virtual reality system or game conventionally, thereby has made to liberate wearer's both hands and improved wearer's use impression.Conventionally, brain wave checkout gear at least has a plurality of brain wave sensors on the precalculated position of the head that can be arranged on wearer (as, induction electrode), for detection of wearer's brain wave, with the brain wave to wearer, analyzes.Here, the frequency range of the mankind's brain wave is generally 0.5Hz ~ 35Hz.Therefore,, in order to sample preferably and to reduce wearer's brain wave, the sample frequency of above-mentioned a plurality of brain wave sensors is conventionally at hundreds of Hz.In this case, because brain wave checkout gear is equipped with several and even dozens of brain wave sensor conventionally, therefore above-mentioned a plurality of brain wave sensors may produce more power consumption under higher sample frequency, particularly wearer, can cause unnecessary power consumption during in relaxation state or rest.
Summary of the invention
In order to solve above-mentioned technical problem of the prior art, according to an aspect of the present invention, provide a kind of brain wave checkout gear, comprising: a plurality of brain wave sensors, configuration detects the user's who wears described brain wave checkout gear brain wave in use, and produces eeg signal; Power management module, configuration is connected with described a plurality of brain wave sensors, and detects the eeg signal from described a plurality of brain wave sensors, and wherein said power management module judges that whether the frequency of described eeg signal is in the first interval; And described power management module is carried out power supply control based on judged result to described a plurality of brain wave sensors.
In addition, according to one embodiment of present invention, if the frequency that wherein described power management module is determined described eeg signal is in the first interval, described power management module reduces the sample frequency of described a plurality of brain wave sensors or stops the sampling of at least a portion brain wave sensor.
In addition, according to one embodiment of present invention, wherein said the first interval is 8-12Hz.
In addition, according to one embodiment of present invention, wherein said a plurality of brain wave sensors further comprise: at least one first sensor, and configuration detects frequency at the brain wave of 1-12Hz; At least one second sensor, configuration detects the brain wave of frequency more than 12Hz.
In addition, according to one embodiment of present invention, if the frequency that wherein described power management module is determined described eeg signal in the first interval, described power management module reduces the sample frequency of described first sensor, described the second sensor; If or the frequency that described power management module is determined described eeg signal is in the first interval, described power management module reduces the sample frequency of described first sensor, and stops the sampling of described the second sensor.
In addition, according to a further aspect in the invention, a kind of method for managing power supply with the brain wave checkout gear of a plurality of brain wave sensors is provided, comprises: by described a plurality of brain wave sensors, detect the user's who wears described brain wave checkout gear brain wave, and produce eeg signal; Detection is from the eeg signal of described a plurality of brain wave sensors; Judge that whether the frequency of described eeg signal is in the first interval; And based on judged result, described a plurality of brain wave sensors are carried out to power supply and control.
In addition, according to one embodiment of present invention, wherein based on judged result, described a plurality of brain wave sensors being carried out to the step that power supplys control further comprises: if the frequency of determining described eeg signal in the first interval, reduces the sample frequency of described a plurality of brain wave sensors or stops the sampling of at least a portion brain wave sensor.
In addition, according to one embodiment of present invention, wherein said the first interval is 8-12Hz.
In addition, according to one embodiment of present invention, wherein said a plurality of brain wave sensors further comprise: at least one first sensor, and configuration detects frequency at the brain wave of 1-12Hz; At least one second sensor, configuration detects the brain wave of frequency more than 12Hz.
In addition, according to one embodiment of present invention, the step of wherein based on judged result, described a plurality of brain wave sensors being carried out to power supply control further comprises: if the frequency of determining described eeg signal is in the first interval, reduce the sample frequency of described first sensor, described the second sensor; If or the frequency of determining described eeg signal is in the first interval, reduces the sample frequency of described first sensor, and stops the sampling of described the second sensor.
Accompanying drawing explanation
Fig. 1 is that diagram is according to the schematic block diagram of the brain wave checkout gear of the embodiment of the present invention; And
Fig. 2 is that diagram is according to the flow chart of the method for managing power supply of the brain wave checkout gear of the embodiment of the present invention.
The specific embodiment
Describe in detail with reference to the accompanying drawings according to each embodiment of the present invention.Here, it should be noted that in the accompanying drawings, identical Reference numeral is given and substantially had ingredient identical or similar structures and function, and will omit being repeated in this description about them.
Below with reference to Fig. 1, describe according to brain wave checkout gear of the present invention.Here, brain wave checkout gear according to the present invention can be the brain wave checkout gear for detection of any type of wearer's brain wave.
As shown in Figure 1, according to the brain wave checkout gear 1 of the embodiment of the present invention, can comprise a plurality of brain wave sensors 10 and power management module 11.
Here, brain wave sensor 10 can be realized by sensing electrode arbitrarily, and when brain wave checkout gear 1 is used, can detect the user's who wears this brain wave checkout gear 1 brain wave, and the generation eeg signal corresponding with user's brain wave.Here, particularly, brain wave sensor 10 can according to default sample frequency (as, hundreds of hertz) wearer's of sampling brain wave checkout gear 1 brain wave, and the generation eeg signal (sampled signal) corresponding with wearer's brain wave.In this case, the processing unit (not shown) in brain wave checkout gear 1 can restore wearer's brain wave and it is analyzed by the eeg signal based on sampled.
Power management module 11 can be by any microprocessor or microcontroller implementation, and can software or firmware based on predetermined carry out default operation.According to embodiments of the invention, power management module 11 is connected with a plurality of brain wave sensors 10, and can detect the eeg signal from a plurality of brain wave sensors 10.
According to embodiments of the invention, whether the frequency that power management module 11 can judge eeg signal in the first interval, and can be carried out power supplys to a plurality of brain wave sensors 10 based on judged result and control.
Particularly, the first interval can be 8-12Hz.Particularly, known according to the current research to the brain wave of human brain, in the frequency of the brain wave of human brain, at the brain wave of this frequency of 8-12Hz(, be also called α ripple) time, ordinary representation its in loosening, the quiet and state such as close one's eyes.Under such state, brain does not carry out thinking activities conventionally.In addition,, if brain is when being subject to environmental stimuli, the frequency of the brain wave of brain exits this first interval (that is, entering interval more than 12Hz).
In this case, according to embodiments of the invention, if power management module 11 determines that the wearer's who wears brain wave checkout gear 1 the frequency of eeg signal is in the first interval, power management module 11 can reduce the sample frequency of a plurality of brain wave sensors 10.Doing is like this because in the frequency of wearer's eeg signal during at 8-12Hz, ordinary representation wearer in loosening, the quiet and state such as close one's eyes, and now wearer can not think deeply and can not produce control instruction.Therefore, in this case, a plurality of brain wave sensors 10 need to and not produce eeg signal with sample frequency (hundreds of Hz) the sampling wearer's that presets brain wave.Here, in the situation that a plurality of brain wave sensor 10 is identical brain wave sensor, power management module 11 can be reduced to the sample frequency of a plurality of brain wave sensors 10 half of its crude sampling frequency.For example, the sample frequency of supposing a plurality of brain wave sensors 10 is 500Hz, and power management module 11 can be reduced to 250Hz by the sample frequency of a plurality of brain wave sensors 10.In addition, power management module 11 can also be reduced to the value that other is less than crude sampling frequency by the sample frequency of a plurality of brain wave sensors 10.In addition,, if power management module 11 determines that the wearer's who wears brain wave checkout gear 1 the frequency of eeg signal is in the first interval, power management module 11 can also stop the sampling of at least a portion brain wave sensor 10.Particularly, because the frequency of the eeg signal wearer is when the 8-12Hz, ordinary representation wearer in loosening, the quiet and state such as close one's eyes, and now wearer can not think deeply and can not produce control instruction, therefore do not need 10 couples of wearers' of all brain wave sensors brain wave to sample.Here, in the situation that a plurality of brain wave sensor 10 is identical brain wave sensor, power management module 11 can also stop the sampling of at least one brain wave sensor 10.For example, the brain wave sensor 10 that can retain half is sampled, or can only retain a brain wave sensor 10 and sample.The location positioning that in addition, can also be arranged on wearer's head according to brain wave sensor 10 stops the sampling of at least one brain wave sensor 10.For example, in the frequency of wearer's eeg signal, during at 8-12Hz, the latter half of of wearer's brain can not produce strong brain wave conventionally.In this case, can stop being arranged on the sampling of latter half of brain wave sensor 10 of wearer's head, and be reduced in the sample frequency of brain wave sensor 10 of first half of wearer's head.
In addition, according to another embodiment of the invention, the brain wave sensor 10 of brain wave checkout gear 1 can also be realized by dissimilar electrode sensor.For example, according to the purposes of brain wave checkout gear 1 and the current classification to brain wave frequency, the brain wave sensor 10 of some brain wave checkout gears 1 can also comprise for detection of frequency at least one first sensor of the brain wave of 1-12Hz states such as () expression is loosened, sleeps and for detection of frequency at least one second sensor of the brain wave more than 12Hz (represent attention concentrate, the states such as psychentonia).In this case, similar to the previous description, if the frequency that power management module 11 is determined eeg signals in the first interval (as, 8-12Hz) in, power management module 11 can reduce the sample frequency of first sensor and the second sensor.In addition, if the frequency that power management module 11 is determined eeg signals in the first interval (as, 8-12Hz) in, power management module 11 can reduce the sample frequency of first sensor, and stops the sampling of the second sensor.
In addition,, if power management module 11 determines that wearers' brain wave is outside the first interval, power management module 11 keeps the default sample frequency of a plurality of brain wave sensors 10.Here, power management module 11 can with the frequency preset (as, detection time, interval was 1 second ~ 60 seconds) carry out and detect and performance and the power consumption with balanced brain wave checkout gear 1 processed in judgement.
By above-mentioned configuration, the frequency of determining eeg signals at power management module 11 in the first interval (as, in the time of 8-12Hz), due to the brain wave ordinary representation wearer on this interval in loosening, quiet and close one's eyes etc. state and now wearer can not think deeply and can not produce control instruction, even if the brain wave sensor that therefore reduces the sample frequency of at least a portion brain wave sensor in a plurality of brain wave sensors 10 or close at least a portion also can not produce larger impact to the analysis of brain wave to brain wave checkout gear 1.Here, due to the brain wave sensor that reduces the sample frequency of at least a portion brain wave sensor in a plurality of brain wave sensors 10 or close at least a portion, can significantly reduce the power consumption of brain wave checkout gear 1.Therefore, according to the brain wave checkout gear 1 of the embodiment of the present invention, can in the situation that not affecting result of use, there is lower power consumption.
Having described the first interval is in the above the situation of 8-12Hz, yet, the invention is not restricted to this, the first interval can also be that 0-4Hz(represents the states such as sleep) because now brain can not produce instruction substantially.The processing of carrying out due to power management module in this case 11 similar to the previous description, therefore repeats no more here.
Below with reference to Fig. 2, describe according to the method for managing power supply of the brain wave checkout gear of the embodiment of the present invention.Here, the method for Fig. 2 can be applied on the brain wave checkout gear with a plurality of brain wave sensors of Fig. 1.
As shown in Figure 2, at step S201, by a plurality of brain wave sensors, detect the user's who wears brain wave checkout gear brain wave, and produce eeg signal.
Particularly, brain wave sensor 10 can according to default sample frequency (as, hundreds of hertz) wearer's of sampling brain wave checkout gear 1 brain wave, and the generation eeg signal (sampled signal) corresponding with wearer's brain wave.In this case, the processing unit (not shown) in brain wave checkout gear 1 can restore wearer's brain wave and it is analyzed by the eeg signal based on sampled.
At step S202, detect the eeg signal from a plurality of brain wave sensors.
Particularly, power management module 11 is connected with a plurality of brain wave sensors 10, and can detect the eeg signal from a plurality of brain wave sensors 10.
At step S203, judge that whether the frequency of eeg signal is in the first interval.
Whether the frequency that particularly, power management module 11 judges eeg signal is in the first interval.For example, the first interval can be 8-12Hz.According to known to the research of the brain wave of human brain, in the frequency of the brain wave of human brain, at the brain wave of this frequency of 8-12Hz(, be also called α ripple) time, ordinary representation its in loosening, the quiet and state such as close one's eyes.Under such state, brain does not conventionally carry out thinking activities and sends instruction.In addition,, if brain is when being subject to environmental stimuli, the frequency of the brain wave of brain exits this first interval (that is, entering interval more than 12Hz).
At step S204, based on judged result, a plurality of brain wave sensors are carried out to power supply and control.
Particularly, power management module 11 is carried out power supply control based on judged result to a plurality of brain wave sensors 10.For example, step S204 can comprise step: if power management module 11 determines that the wearer's who wears brain wave checkout gear 1 the frequency of eeg signal is in the first interval, power management module 11 can reduce the sample frequency of a plurality of brain wave sensors 10.Because in the frequency of wearer's eeg signal during at 8-12Hz, therefore wearer can not think deeply and can not produce control instruction, and a plurality of brain wave sensors 10 need to and not produce eeg signal with sample frequency (hundreds of Hz) the sampling wearer's that presets brain wave.Here, in the situation that a plurality of brain wave sensor 10 is identical brain wave sensor, power management module 11 can be reduced to the sample frequency of a plurality of brain wave sensors 10 half of its crude sampling frequency.In addition, power management module 11 can also be reduced to the value that other is less than crude sampling frequency by the sample frequency of a plurality of brain wave sensors 10.In addition, step S204 can also comprise step: if power management module 11 determines that the wearer's who wears brain wave checkout gear 1 the frequency of eeg signal is in the first interval, power management module 11 can also stop the sampling of at least a portion brain wave sensor 10.Here, in the situation that a plurality of brain wave sensor 10 is identical brain wave sensor, power management module 11 can also stop the sampling of at least one brain wave sensor 10.For example, the brain wave sensor 10 that can retain half is sampled, or can only retain a brain wave sensor 10 and sample.The location positioning that in addition, can also be arranged on wearer's head according to brain wave sensor 10 stops the sampling of at least one brain wave sensor 10.For example, in the frequency of wearer's eeg signal, during at 8-12Hz, the latter half of of wearer's brain can not produce strong brain wave conventionally.In this case, can stop being arranged on the sampling of latter half of brain wave sensor 10 of wearer's head, and be reduced in the sample frequency of brain wave sensor 10 of first half of wearer's head.
In addition, according to another embodiment of the invention, the brain wave sensor 10 of brain wave checkout gear 1 can also be realized by dissimilar electrode sensor.For example, according to the purposes of brain wave checkout gear 1 and the current classification to brain wave frequency, the brain wave sensor 10 of some brain wave checkout gears 1 can also comprise that (expression is loosened at the brain wave of 1-12Hz for detection of frequency, the states such as sleep) at least one first sensor and for detection of frequency at least one second sensor of the brain wave more than 12Hz (represent attention concentrate, the states such as psychentonia).In this case, step S204 can comprise step: if the frequency that power management module 11 is determined eeg signals in the first interval (as, 8-12Hz) in, power management module 11 can reduce the sample frequency of first sensor and the second sensor.In addition, step S204 can also comprise step: if the frequency that power management module 11 is determined eeg signals in the first interval (as, 8-12Hz), power management module 11 can reduce the sample frequency of first sensor, and stops the sampling of the second sensor.
Describe each embodiment of the present invention in the above in detail.Yet, it should be appreciated by those skilled in the art that without departing from the principles and spirit of the present invention, can carry out various modifications to these embodiment, combination or sub-portfolio, and such modification should fall within the scope of the present invention.
Claims (10)
1. a brain wave checkout gear, comprising:
A plurality of brain wave sensors, configuration detects the user's who wears described brain wave checkout gear brain wave in use, and produces eeg signal;
Power management module, configuration is connected with described a plurality of brain wave sensors, and detects the eeg signal from described a plurality of brain wave sensors,
Wherein said power management module judges that whether the frequency of described eeg signal is in the first interval; And
Described power management module is carried out power supply based on judged result to described a plurality of brain wave sensors and is controlled.
2. brain wave checkout gear as claimed in claim 1, wherein
If described power management module determines that the frequency of described eeg signal is in the first interval, described power management module reduces the sample frequency of described a plurality of brain wave sensors or stops the sampling of at least a portion brain wave sensor.
3. the brain wave checkout gear of stating as claim 2, wherein
Described the first interval is 8-12Hz.
4. brain wave checkout gear as claimed in claim 3, wherein said a plurality of brain wave sensors further comprise:
At least one first sensor, configuration detects frequency at the brain wave of 1-12Hz;
At least one second sensor, configuration detects the brain wave of frequency more than 12Hz.
5. brain wave checkout gear as claimed in claim 4, wherein
If described power management module determines that the frequency of described eeg signal is in the first interval, described power management module reduces the proportion of described first sensor, described the second sensor; Or
If described power management module determines that the frequency of described eeg signal is in the first interval, described power management module reduces the sample frequency of described first sensor, and stops the sampling of described the second sensor.
6. a method for managing power supply with the brain wave checkout gear of a plurality of brain wave sensors, comprising:
By described a plurality of brain wave sensors, detect the user's who wears described brain wave checkout gear brain wave, and produce eeg signal;
Detection is from the eeg signal of described a plurality of brain wave sensors;
Judge that whether the frequency of described eeg signal is in the first interval; And
Based on judged result, described a plurality of brain wave sensors being carried out to power supply controls.
7. method as claimed in claim 6, wherein based on judged result, described a plurality of brain wave sensors are carried out to the step that power supplys control and further comprise:
If the frequency of definite described eeg signal in the first interval, reduces the sample frequency of described a plurality of brain wave sensors or stops the sampling of at least a portion brain wave sensor.
8. the method for stating as claim 7, wherein
Described the first interval is 8-12Hz.
9. the method for stating as claim 8, wherein said a plurality of brain wave sensors further comprise:
At least one first sensor, configuration detects frequency at the brain wave of 1-12Hz;
At least one second sensor, configuration detects the brain wave of frequency more than 12Hz.
10. method as claimed in claim 9, wherein based on judged result, described a plurality of brain wave sensors are carried out to the step that power supplys control and further comprise:
If determine that the frequency of described eeg signal, in the first interval, reduces the sample frequency of described first sensor, described the second sensor; Or
If determine that the frequency of described eeg signal, in the first interval, reduces the sample frequency of described first sensor, and stops the sampling of described the second sensor.
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| CN103654771B (en) | 2017-02-08 |
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